Gauge Resources: How to optimize for visibility in AI Search

Gauge Chat helps your brand get recommended when people ask AI for answers. It tracks your visibility across ChatGPT, Gemini, Perplexity, and other AI search platforms, shows how you compare to competitors, and helps you create content that earns mentions and citations.

Gauge Agents helps developer tools get selected and implemented by coding agents like Claude Code, Codex, and Cursor. It shows how agents discover your product, read your docs, and attempt integrations, so you can identify what makes them choose your tool or abandon it.

Use Gauge Chat to improve how AI answers describe and recommend your brand. Use Gauge Agents to improve whether coding agents choose your product and successfully build with it. You can explore either product using the Chat / Agents switch at the top of this page.

Many people are incorrectly saying that "SEO is dead". This is objectively false, and we see so in the data.

SEO and AI optimization are highly correlated. This is because AI is using search tools to retrieve data from the internet. This means we're still optimizing for search.

That being said, there are unique aspects of how AI searches the web that creates opportunities for brands. AI does not suffer the same sharp attention span dropoff that humans do; it also cares significantly less about things like domain authority. Instead, AI is solely focused on the relevancy of the search result and corresponding content to the original user query.

Because of this, AI will typically pull the top ~50 results for a given search, and distribute attributions much more evenly than Google. Humans almost never click past the first page; AI does every time. This means we can target the long tail for as many keywords as possible, rather than fight tooth-and-nail for the #1 position on a SERP.

There are several key metrics that are important to think about with respect to AI search:

1. Mention Rate: What % of tracked AI answers is my brand mentioned in?
2. Citation Rate: What % of tracked AI answers cite my website?
3. Referral Traffic: How much traffic is AI sending directly to my website? What URLs are seeing the most traffic?

It's important to note that all of these measurements are imperfect in some way. Citation and Mention rate are only as good as the prompts configured. This is where Gauge's detailed research that finds real usecases and pain points becomes critical. Referral traffic also only represents a tiny fraction of your true visibility across AI answers, as users infrequently actually click on citations in generative engines. Estimates show that you may see as much as 100x the number of sessions where your brand is referenced when compared to the number of clickthroughs that will register to your web properties.

Gauge offers two plans:

1. Growth (most popular) - $599 monthly for 600 prompts run daily across 6 AI platforms (108,000 AI answers tracked per month), with 18 articles created by Gauge's content engine monthly
2. Enterprise - custom plans including higher limits, more models, and more support

When you compare tools, compare answers, not prompts. Answers tracked = prompts × platforms × runs per month. A plan with fewer platforms or weekly runs tracks far fewer answers for the same prompt count. Gauge Growth works out to about half a cent per answer.

Most users select the growth plan with larger firms often opting for enterprise.

Typical customers see anywhere from a 3x-5x uplift in their AI visibility within the first month of using Gauge. This is contingent on the implementation and execution of the recommendations and workflows that Gauge supports.

Gauge is the only complete tookit that offers everything you need to understand and improve your presence in AI. Built by technical teams with deep experience in data, Gauge is different than many other tools that focus on marketing over engineering.

Gauge goes a step further than simply asking "best X" or "top Y". By researching real search intent volumes and mapping your competitors web presences, Gauge is able to track the real usecases and pain points that your prospects are asking. Instead of simply hitting APIs, Gauge pulls real data from the true web experiences that the models are surfacing to users. This data differs significantly from what many naive implementations find, and results in much higher correlation to the real world experiences your prospects are encountering.

Gauge also goes a step further beyond simple prompt tracking. With its data-driven content engine, Gauge fully owns the end-to-end workflow of improving your brands' visibility in AI.

Gauge is an AI marketing platform built around Ask Gauge, an AI agent that helps marketers analyze performance, identify opportunities, and execute work in plain language. Its capabilities include:

• AI marketing agent: Ask questions about your data, investigate performance changes, manage prompts and topics, and create content through conversation. Ask Gauge remembers your brand context and preferences.
• AI visibility tracking: Monitor brand mentions, rankings, and website citation rates in AI answers over time, with breakdowns by prompt and topic.
• Competitor analysis: Compare your visibility with competitors, find prompts where they appear and you do not, and investigate the sources supporting their presence.
• Sentiment analysis: Understand how AI describes your brand and how that perception compares with competitors across topics.
• Prompt management: Create and organize prompts, topics, keywords, and tags, and inspect the answers behind your metrics.
• Citation analysis: Identify the domains and pages AI cites, track changes in citation performance, and find gaps in your own content.
• Query fanout analysis: See the search queries AI models generate behind the scenes when answering prompts.
• Content research and strategy: Research keywords, analyze existing content and cited pages, and prioritize topics based on search data and visibility gaps.
• Content creation and publishing: Generate briefs, outlines, and articles, refresh existing content, and publish to connected platforms including Webflow, Framer, and Sanity.
• Content and task management: Organize content in a shared library, plan a content calendar, and manage recommended actions from discovery through completion.
• SEO and traffic analysis: Analyze Google Search Console performance and Google Analytics traffic, including visits from AI referrals, alongside AI visibility data.
• Social citation tracking: Find Reddit threads and, when enabled, YouTube videos cited in AI answers, including citations that mention your brand.
• ChatGPT ad monitoring: Track brands and ads appearing in monitored ChatGPT responses.
• Reporting: Turn analysis into charts, reports, and presentation decks for sharing findings and recommendations.